阿里云文本内容审核服务入门~

直接上官网链接：文本反垃圾检测 - 内容安全 - 阿里云

前期准备工作:

1、在阿里云官网注册账号

2、在管理控制台，管理AccessKeyID和AccessKeySecret

在访问控制中给账户授予内容安全的权限

 

 

 

 

3、 文本内容垃圾检测

文本垃圾内容检测：文本同步检测 - 内容安全 - 阿里云

文本垃圾内容Java SDK: 文本反垃圾检测 - 内容安全 - 阿里云

一、引入依赖包

二、根据官网提供的实例代码进行改写

import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.aliyun.oss.ClientException;
import com.aliyuncs.DefaultAcsClient;
import com.aliyuncs.IAcsClient;
import com.aliyuncs.exceptions.ServerException;
import com.aliyuncs.green.model.v20180509.TextScanRequest;
import com.aliyuncs.http.FormatType;
import com.aliyuncs.http.HttpResponse;
import com.aliyuncs.profile.DefaultProfile;
import com.aliyuncs.profile.IClientProfile;

import java.util.*;
/**
 * @Author admin
 * @Date 2022/1/28 17:56
 * 文本内容检测
 **/

@Component
public class VerifyText {
    @Value("${aliyun.accesskey}")
    private String accesskey;

    @Value("${aliyun.secretkey}")
    private String secretkey;

    public List> verify(String text) throws Exception {

        IClientProfile profile = DefaultProfile
                .getProfile("cn-shanghai", accesskey, secretkey);
        DefaultProfile
                .addEndpoint("cn-shanghai", "Green", "green.cn-shanghai.aliyuncs.com");
        IAcsClient client = new DefaultAcsClient(profile);
        TextScanRequest textScanRequest = new TextScanRequest();
        textScanRequest.setAcceptFormat(FormatType.JSON); // 指定API返回格式。
        textScanRequest.setHttpContentType(FormatType.JSON);
        textScanRequest.setMethod(com.aliyuncs.http.MethodType.POST); // 指定请求方法。
        textScanRequest.setEncoding("UTF-8");
        textScanRequest.setRegionId("cn-shanghai");
        List> tasks = new ArrayList>();
        Map task1 = new LinkedHashMap();
        task1.put("dataId", UUID.randomUUID().toString());
        /**
         * 待检测的文本，长度不超过10000个字符。
         */
        task1.put("content", text);
        tasks.add(task1);
        JSONObject data = new JSONObject();

        /**
         * 检测场景。文本垃圾检测请传递antispam。
         **/
        data.put("scenes", Arrays.asList("antispam"));
        data.put("tasks", tasks);
        System.out.println(JSON.toJSONString(data, true));
        textScanRequest.setHttpContent(data.toJSONString().getBytes("UTF-8"), "UTF-8", FormatType.JSON);
        // 请务必设置超时时间。
        textScanRequest.setConnectTimeout(3000);
        textScanRequest.setReadTimeout(6000);
        try {
            HttpResponse httpResponse = client.doAction(textScanRequest);
            if(httpResponse.isSuccess()){
                JSONObject scrResponse = JSON.parseObject(new String(httpResponse.getHttpContent(), "UTF-8"));
                System.out.println(JSON.toJSONString(scrResponse, true));
                if (200 == scrResponse.getInteger("code")) {

                    List> resultMaps = new ArrayList<>();
                    JSONArray taskResults = scrResponse.getJSONArray("data");
                    for (Object taskResult : taskResults) {
                        if(200 == ((JSONObject)taskResult).getInteger("code")){
                            JSONArray sceneResults = ((JSONObject)taskResult).getJSONArray("results");
                            for (Object sceneResult : sceneResults) {
                                String scene = ((JSONObject)sceneResult).getString("scene");
                                String suggestion = ((JSONObject)sceneResult).getString("suggestion");
                                // 根据scene和suggetion做相关处理。
                                // suggestion为pass表示未命中垃圾。suggestion为block表示命中了垃圾，可以通过label字段查看命中的垃圾分类。
                                System.out.println("args = [" + scene + "]");
                                System.out.println("args = [" + suggestion + "]");

                                Map resultMap = new HashMap<>();
                                resultMap.put("scene",scene);
                                resultMap.put("suggestion",suggestion);
                                resultMaps.add(resultMap);
                            }
                        }else{
                            System.out.println("task process fail:" + ((JSONObject)taskResult).getInteger("code"));
                        }
                    }
                    return resultMaps;
                } else {
                    System.out.println("detect not success. code:" + scrResponse.getInteger("code"));
                }
            }else{
                System.out.println("response not success. status:" + httpResponse.getStatus());
            }
        } catch (ServerException e) {
            e.printStackTrace();
        } catch (ClientException e) {
            e.printStackTrace();
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }

}

 三、测试

import com.qing.aliyun.verify.VerifyText;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.List;
import java.util.Map;

/**
 * @Author admin
 * @Date 2022/1/28 18:13
 **/
@SpringBootTest
@RunWith(SpringRunner.class)
public class test {

    @Autowired
    private VerifyText verifyText;

    @Test
    public void test() throws Exception {

        String text = "你他妈真是个傻缺";

            List> resultMaps = verifyText.verify(text);
            for (Map resultMap : resultMaps) {

                System.out.println("resultMap = " + resultMap);
            }

    }

}

检测结果为： 

 

 下面是审核成功的：

@Test
    public void test() throws Exception {

        String text = "该配合你演出的我视而不见~";

            List> resultMaps = verifyText.verify(text);
            for (Map resultMap : resultMaps) {

                System.out.println("resultMap = " + resultMap);
            }

    }

 语音审核和图片审核都是差不多的，看一下阿里云的产品文档就行了